APE 2012: Semantic Publishing - Just a Buzzword?

Semantic Publishing –Just a Buzzword?

Prof. Dr. Felix SasakiW3C German-Austrian Office / [email protected]

The current state of the Semantic Web anda hands-on example of multidimensional microcontent

Michael Dreusicke (CEO)PAUX Technologies [email protected]

© W3C German-Austrian Office & PAUX Technologies, APE 2012

1. Why the Semantic Web?


Bridge the gap between what humans see and what a browser “sees”

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Give Uniqueness to concepts – example “bank”

http://dbpedia.org/page/Bank ✔

✔ ✔

✔

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Provide access to lot’s of interlinked data – in a standardized manner

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Allow for new ways to access the Web

• People who were born in Berlin before 1900

• Part of one answer from dbpedia (= Semantic Web version of Wikipedia):

“Alexander Gottlieb Baumgarten”born “1714-07-17”died “1762-05-26”

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2. Semantic Web in a Nutshell

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Identify things (“resources”) using URIs (Unique Resource Identifiers)

“Eric Miller” =

http://www.w3.org/People/EM/contact#me

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Make statements about resources

• For humans: “Eric Miller has the email address [email protected]”

• For machines: triples consisting of Subject, Predicate, Object• http://www.w3.org/People/EM/contact#me

• http://www.w3.org/2000/10/swap/pim/contact#mailbox

• mailto:[email protected]

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Consisting of source (subject), target (object),type of link (predicate)

Statements are like linksin the human Web

http://www.w3.org/People/EM/contact#me

http://www.w3.org/2000/10/swap/pim/contact#mailbox

mailto:[email protected]

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Main technologiesin the Semantic Web

• RDF: Describe Resources• “Eric Miller has the email address …”

• RDF Schema: Describe kinds of resources• “Eric Miller is a person”

• OWL: Richer descriptions (“ontologies”)

• SPARLQ: Query RDF• “Find me all persons who have an email address”

• “Find people who were born in Berlin before 1900”

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3. Trends in Semantic Web

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TREND: Linked Open Data

• Provide masses of data following the “5 stars of open linked data”

• More and more communities• Health Care & Life Sciences

• dbpedia in many languages

• Libraries

• eGovernment

• News provider

• …

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TREND: Integrating Semantic Web into Web pages: RDFa

All content on this site is licensed under<a rel="license" href="http://creativecommons.org/licenses/by/3.0/"> a Creative Commons License</a>.

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TREND: Build bridges to other approaches for metadata on the Web

• Example: schema.org

• Metadata vocabulary

• Used by Bing, Google, Yahoo! for presenting Web search results

• Can solve the ambiguity problem (“what is a bank?”)

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A bank at schema.org

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schema.org

Onevocabulary

Written as RDFa

Written as Microdata

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schema.org

Onevocabulary

Written as RDFa


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Bridge towardsSemantic Web


schema.org

Onevocabulary

Written as RDFa


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Used atschema.org


schema.org

Onevocabulary

Written as RDFa


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Used atschema.org

Mostimportant!


TREND: build bridges among (Semantic Web) vocabularies for the Web

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Overview

• Advanced hypertext functionality• Modular text

• Multiple links

• Rated links

• Examples

• Use cases• Search

• Context-sensitive help

• Personalized content

• e-Learning

• Annotation + sharing + back channel

• Search engine optimization

• New business model22


• Modular text

• Multiple links

• Rated links

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Advanced Hypertext Functionality

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1"#"n"

reusable

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Modular text

control only over container

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content

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Multiple Links

Textbooks

Videos

Pictures

Aggregation

Media

Articles

references

AggregationDocuments

CommentaryAggregation

Aggregation

Aggregation

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Rated links

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Rating

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Page #

Previous Knowledge

Difficulty

RelevancyQuality

User Group

Rating

Article

Paragraph

Sentence

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Examples for modular text

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Text model

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Everything has an ID/URI

ID

IDIDIDID

ID

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IDIDIDID

ID

IDID

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Why an URI for everything?

• Metadata

• Multiple and rated links

• €

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© W3C Germany/Austria & PAUX Technologies, APE 2012

Example: Textbook „Statistic“

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Categories + icons for sentences

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Use case 1: Search

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Use case 1: Search

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Proposals

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Number of hits

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Search results: Single information

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Search results: Sorted by category

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Use case 2: context-sensitive help

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Example: Help for a word ...

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... opens popup

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Popup shows linked content

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For example a definition

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... and some more topics (clickable)

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Help for words in help texts

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Help for words in help texts

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Help for help

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Help for help

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...

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...

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...

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Model: Text as linked data

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Help for a word

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Example: Sentence

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Example: Paragraph

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@sentence

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persons@sentence

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hyperlinks@sentence

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pictures@sentence

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...@paragraph

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Person has an IDand therefore context

ID

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Editor

Example: Role for word

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Contact

Example: Role for sentence

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Translator

Example: Role for paragraph

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TranslatorID

Role has an ID

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Translator

Example: Persons within a role

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Use case 3: Personalized content

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Different surface

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Different surface

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Different background

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Different background

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Use case 4: e-Learning

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Example: Multiple choice test

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Use case 5: Comment, share, discuss

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© W3C Germany/Austria & PAUX Technologies, APE 2012 75

Example: Liquid books


Further Books


Embedded content


Cross selling: Purchase further books


Cross selling: Popups as teasers


Advertising in the content ...


... or in the popups


Monitoring for each content object


Sharing


For example: Annotation of sentence


Rating and comment


Example: Facebook


Content object and annotation to Facebook


Comments and likes for comment at Facebook


Back channel


Aggregation at the book


In short

• RDF-Triple

• e-Learning

• SEO• Microsites

• RDFa

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Use case 6: Search engine optimization

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Microsites of every content object(text and relations)

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Pages

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http://www.


Paragraphs

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Sentences

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Words (+relations +annotations)

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Price P Online

Price SP Mobil

Price SP Print

Price SP Online

Price SA Mobil

Price SA Online

Price SA Print

Price

PA M

obil

Price

PA On

line

Price P Online

Price A Online

Price A Mobil

Use case 7: New business model

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PA Pr

intPrice P Print

Price A Print

Reference

Article

Paragraph

Sentence98


Summary

• Semantic Web• Why we need it

• The technical bits

• What comes next

• Semantic Microcontent

• Concrete Advantages

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Thank you for your attention.Questions?

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Prof. Dr. Felix SasakiW3C German-Austrian Office / [email protected]

Michael Dreusicke (CEO)PAUX Technologies [email protected]

Business

APE 2012: Semantic Publishing - Just a Buzzword?